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NCP-AIN Exam Questions & Answers

AI Networking  •  NVIDIA

70 Questions 90 min Updated Sep 2026 99% Pass Rate
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Sample NCP-AIN Questions

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Q1 MultipleChoice

[InfiniBand Configuration]

You are setting up PKey memberships for different tenants in an InfiniBand network. You want to ensure that some tenants have limited communication capabilities. Which PKey membership type allows members to communicate with full members but not with other members of the same type?

Correct Answer: D
Explanation:

In InfiniBand networks, P_Keys (Partition Keys) control communication boundaries. Each port can belong to one or more partitions with either full or limited membership.

From NVIDIA InfiniBand Documentation (Partitioning and P_Keys):

'A limited (or partial) membership permits a port to communicate only with other ports in the same partition that have full membership. It cannot communicate with other limited members, even if they are in the same P_Key partition.'

This makes limited/partial membership ideal for multi-tenant security, where tenant ports can reach infrastructure ports (full members) but not other tenant ports (limited members).

Incorrect Options:

A & B are not valid InfiniBand P_Key types.

C (Full membership) allows unrestricted communication within the same partition.

Q2 MultipleChoice

[InfiniBand Optimization]

You are troubleshooting a Spectrum-X network and need to ensure that the network remains operational in case of a link failure. Which feature of Spectrum-X ensures that the fabric continues to deliver high performance even if there is a link failure?

Correct Answer: B
Explanation:

RoCE Adaptive Routing is a key feature of NVIDIA Spectrum-X that ensures high performance and resiliency in the network, even in the event of a link failure. This technology dynamically reroutes traffic to the least congested and operational paths, effectively mitigating the impact of link failures. By continuously evaluating the network's egress queue loads and receiving status notifications from neighboring switches, Spectrum-X can adaptively select optimal paths for data transmission. This ensures that the network maintains high throughput and low latency, crucial for AI workloads, even when certain links are down.

Reference Extracts from NVIDIA Documentation:

'Spectrum-X employs global adaptive routing to quickly reroute traffic during link failures, minimizing disruptions and preserving optimal storage fabric utilization.'

'RoCE Adaptive Routing avoids congestion by dynamically routing large AI flows away from congestion points. This approach improves network resource utilization, leaf/spine efficiency, and performance.'

Q3 MultipleChoice

[AI Network Architecture]

You are optimizing an AI workload that involves multiple GPUs across different nodes in a data center. The application requires both high-bandwidth GPU-to-GPU communication within nodes and efficient communication between nodes.

Which combination of NVIDIA technologies would best support this multi-node, multi-GPU AI workload?

Correct Answer: C
Explanation:

For optimal performance in multi-node, multi-GPU AI workloads:

NVLink provides high-speed, low-latency communication between GPUs within the same node.

InfiniBand offers efficient, scalable communication between nodes in a data center.

Combining these technologies ensures both intra-node and inter-node communication needs are effectively met.

Q4 MultipleChoice

[Spectrum-X Optimization]

Which component of the Spectrum-X platform is responsible for reordering out-of-order packets?

Correct Answer: A
Explanation:

Within the Spectrum-X platform, the NVIDIA BlueField-3 SuperNIC is responsible for reordering out-of-order packets. When RoCE adaptive routing is employed, packets may arrive at their destination out of order due to dynamic path selection. The BlueField-3 SuperNIC handles this by reassembling the packets in the correct order at the transport layer, ensuring that the application receives data seamlessly.

Reference Extracts from NVIDIA Documentation:

'As different packets of the same flow travel through different paths of the network, they may arrive out of order to their destination. At the RoCE transport layer, the BlueField-3 DPU takes care of the out-of-order packets and forwards the data to the application in order.'

'The BlueField-3 SuperNIC offers adaptive routing, out-of-order packet handling and optimized congestion control.'

The NVIDIA Spectrum-X networking platform is an Ethernet-based solution optimized for AI workloads, combining Spectrum-4 switches, BlueField-3 SuperNICs, and software like DOCA and NetQ to deliver high performance, low latency, and efficient data transfer. A key feature of Spectrum-X is its adaptive routing, which dynamically selects the least-congested paths for packet transmission to maximize bandwidth and minimize latency. However, this per-packet load balancing can result in packets arriving out of order at the destination, necessitating a mechanism to reorder them for seamless application performance. The question asks which Spectrum-X component is responsible for reordering these out-of-order packets.

According to NVIDIA's official documentation, the BlueField-3 SuperNIC is the component responsible for reordering out-of-order packets in the Spectrum-X platform. The SuperNIC, a network accelerator designed for hyperscale AI workloads, handles packet reordering at the RDMA over Converged Ethernet (RoCE) transport layer. It uses its processing capabilities to transparently reorder packets and place them in the correct sequence in the host memory, ensuring that adaptive routing's out-of-order delivery is invisible to the application. This is critical for maintaining predictable performance in AI workloads, particularly for GPU-to-GPU communication in Spectrum-X networks.

Exact Extract from NVIDIA Documentation:

''The Spectrum-4 switches are responsible for selecting the least-congested port for data transmission on a per-packet basis. As different packets of the same flow travel through different paths of the network, they may arrive out of order to their destination. The BlueField-3 SuperNIC transforms any out-of-order data at the RoCE transport layer, transparently delivering in-order data to the application.''

--- NVIDIA Technical Blog: Turbocharging Generative AI Workloads with NVIDIA Spectrum-X Networking Platform

This extract confirms that option A, the SuperNIC (specifically the BlueField-3 SuperNIC), is the correct answer. The SuperNIC's role in reordering packets ensures that the adaptive routing implemented by Spectrum-4 switches does not compromise application performance, maintaining high effective bandwidth and low tail latency for AI workloads.

Q5 MultipleChoice

[InfiniBand Security]

You are concerned about potential security threats and unexpected downtime in your InfiniBand data center.

Which UFM platform uses analytics to detect security threats, operational issues, and predict network failures in InfiniBand data centers?

Correct Answer: C
Explanation:

The NVIDIA UFM Cyber-AI Platform is specifically designed to enhance security and operational efficiency in InfiniBand data centers. It leverages AI-powered analytics to detect security threats, operational anomalies, and predict potential network failures. By analyzing real-time telemetry data, it identifies abnormal behaviors and performance degradation, enabling proactive maintenance and threat mitigation.

This platform integrates with existing UFM Enterprise and Telemetry services to provide a comprehensive view of the network's health and security posture. It utilizes machine learning algorithms to establish baselines for normal operations and detect deviations that may indicate security breaches or hardware issues.

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Frequently Asked Questions

The NCP-AIN is a professional certification offered by NVIDIA that validates expertise in AI networking technologies and solutions. It assesses knowledge of networking architectures, protocols, and best practices specifically designed for AI and machine learning workloads.

While there are no strict formal prerequisites, NVIDIA recommends having foundational knowledge of networking concepts, familiarity with AI/ML infrastructure, and practical experience with network deployment and management. Some hands-on experience with NVIDIA networking solutions is beneficial.

The exam typically lasts 90 minutes and consists of multiple-choice and scenario-based questions. The exact duration and question count may vary, so it's best to check NVIDIA's official certification page for current details.

The exam covers AI networking fundamentals, high-performance computing (HPC) networking, data center networking for AI workloads, NVIDIA networking products and solutions, performance optimization, and network security. It also includes topics related to scalability and reliability in AI infrastructure.

You can register for the exam through NVIDIA's official certification portal or authorized testing partners. Registration typically requires creating an account, selecting your preferred exam date and testing location, and paying the associated exam fee.
Exam Details
  • Exam CodeNCP-AIN
  • VendorNVIDIA
  • Total Questions70
  • Duration 90 min
  • LanguageEnglish
  • Last UpdatedSep 5, 2026
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